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Titlebook: Partial Moments in System Identification; Régis Ouvrard,Thierry Poinot,Jean-Claude Trigeasso Book 2024 The Editor(s) (if applicable) and T

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书目名称Partial Moments in System Identification
编辑Régis Ouvrard,Thierry Poinot,Jean-Claude Trigeasso
视频video
概述Removes previous limitations on implementation of partial-moment-based tools in system identification.Shows how parametric estimation tools can be adapted to very broad classes of model.Provides preli
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Partial Moments in System Identification;  Régis Ouvrard,Thierry Poinot,Jean-Claude Trigeasso Book 2024 The Editor(s) (if applicable) and T
描述.This book provides a complete round-up of developments concerned with the application of partial moments in system identification and data-driven modelling; it captures the essence of work carried out at the Laboratoire d‘Informatique et d‘Automatique pour les Systèmes for more than 40 years... ..The book begins with introductory material, describing both the mathematical tools associated with partial moments and reinitialized partial moments and an example demonstrating their use. The authors then proceed to show how these tools can be used for the identification of continuous-time linear models, discrete-time linear models, continuous-time linear state-space models, linear parameter-varying models and multidimensional models based on partial differential equations. The properties and performances of each of these approaches are presented. The analogy with algebraic approaches is proved, thus opening perspectives for extension to other fields. The text removes some long-standing limitations on the implementation of partial-moment-based tools in system identification... ..This book is of interest to researchers and postgraduates studying system identification, control theory, appl
出版日期Book 2024
关键词System Identification; Data-driven Modelling; Partial Moment; Reinitialized Partial Moment; Continuous-t
版次1
doihttps://doi.org/10.1007/978-3-031-58156-4
isbn_softcover978-3-031-58158-8
isbn_ebook978-3-031-58156-4Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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